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Owing to the potential higher energy supply efficiency and operationflexibility, integrated energy system (IES), which usually includes electricpower, gas and heating/cooling systems, is considered as one of the primaryforms of energy carrier in the future. However, with the increasing complexityof multiple energy devices and systems integration, IES planning is facing asignificant challenge in terms of risk assessment. To this end, an energy hub(EH) planning model considering renewable energy sources (RES) and energystorage system (ESS) integration is proposed in this paper, in which the riskis measured by Conditional Value-at-Risk (CVaR). The proposed IES planningmodel includes two stages: 1) investment planning on equipment types andcapacity (e.g., energy converters, distributed RES and ESS) and 2) optimizingthe potential risk loss in operation scenarios along with confidence level andrisk preference. The problem solving is accelerated by Benders Decompositionand Improved Backward Scenario Reduction Method. The numerical resultsillustrate the effectiveness of proposed method in balancing the potentialoperation risk and investment cost. Moreover, the effectiveness of reducingpotential operation risk by introducing ESS and RES are also verified.

A Conditional Value-at-Risk Based Planning Model for Integrated Energy System with Energy Storage and Renewables